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PRJNA1456328 SRP693778

Axillary & gut microbiota in axillary bromhidrosis

Axillary and Gut Microbiota Characteristics in Axillary Bromhidrosis Patients and the Effect of Microwave Therapy: A Case-Control Study

62 axillary and stool samples from axillary bromhidrosis patients and healthy controls, including a subset before and after microwave therapy, in a case-control study of axillary and gut microbiota. machine-written summary

62 samples · 62 runs · CN · Age unknown · 2026 · 20.6 Mbp / sample

Sources
✓Sequence archive 124○Abstract / description✓Full text 186○Supplementary tables–External resources–User contribution–Human verified

Checked this project's papers and archive records yourself? Mark it human-verified.

what each source gave
✓ Sequence archive124 sample values (country, health condition detail)
○ Abstract / descriptionread; no usable statement
✓ Full text186 sample values (antibiotic exposure, collection date, location site) · PMC13183811
○ Supplementary tablesfiles read; no table could be matched to the samples
– External resourcesnot covered by the external resources we ingest
– User contributionnothing uploaded yet · share metadata
– Human verifiednot yet checked by a person · I checked this project — verify it
Interventions

intervention — arms not resolved

Other administered intervention (see intervention_detail) design single_arm_before_after · population other_disease · Microwave therapy for axillary bromhidrosis, pre/post gut samples

“8 patients received microwave therapy, collecting pre-and post-treatment samples” — bioproject.description (study level; per-sample arms are in the intervention column below)

Samples at a glance
1 country
Age
unknown62
Country
CN62
Body site
primary62
Sequencing depth per sample · this project all projects
all projects, 0–0.03 Gbp: 25,080 samples (4 %)this project, 0–0.03 Gbp: 62 samplesall projects, 0.03–0.1 Gbp: 17,066 samples (3 %)all projects, 0.1–0.3 Gbp: 29,179 samples (5 %)all projects, 0.3–1 Gbp: 47,044 samples (8 %)all projects, 1–3 Gbp: 124,983 samples (22 %)all projects, 3–10 Gbp: 253,728 samples (44 %)all projects, 10–30 Gbp: 72,533 samples (13 %)all projects, 30–100 Gbp: 3,024 samples (1 %)all projects, 100–300 Gbp: 106 samples (0 %)all projects, ≥ 300 Gbp: 9 samples (0 %)project median 0.02 Gbp per sample0130Gbp
Sampling design and relatedness

longitudinal — not resolved

Schedule stated by the source: “8 microwave-therapy patients sampled pre-treatment and 3 months post-treatment”; stated follow-up 3 mo.

How longitudinal and relatedness information is derived

Community composition

No Sandpiper profile for this project's samples yet.

Field coverage
fieldsamplescoverageR1R2R3R4
age_category0 0%
country62 100%62
health_condition0 0%
subject_id0 0%
antibiotic_exposure62 100%62
collection_date62 100%62
detailed_location62 100%
health_condition_detail62 100%62
location_site62 100%62
Papers (1)
  • Axillary and gut microbiota characteristics in axillary bromhidrosis patients and the effect of microwave therapy: a case-control study. 2026 PMID 42164666 PMC13183811 own_data
Details
Archive description

Introduction: Axillary bromhidrosis is characterized by excessive sweat gland activity and foul body odor, significantly affecting patients' psychological well-being and social interactions. Methods: This study recruited 30 axillary bromhidrosis patients and 30 healthy controls, collecting sweat and stool samples for microbiome analysis. Among the patients, 8 patients received microwave therapy, collecting pre-and post-treatment samples for microbiome analysis. Results: The axillary microbiota of patients showed significant differences compared to healthy controls, particularly with increased abundance of odor-causing bacteria such as Staphylococcus and related species (Staphylococcus hominis, Staphylococcus haemolyticus) (LDA > 3, P < 0.05). While the gut microbiota composition showed no significant changes, but LEfSe analysis revealed that SCFAs-producing bacteria (Bacteroides stercoris, Phocaeicola massiliensis, and Phocaeicola vulgatus) was significantly elevated (LDA > 3, P < 0.05), indicating that the abundance changes of SCFAs-producing bacteria may be associated with axillary odor production through the regulation of metabolic processes. Correlation analysis revealed positive correlations between axillary odor-producing genera (Staphylococcus, Peptoniphilus, Anaerococcus) and gut SCFAs-producing genera (Roseburia, Blautia, Clostridium), suggesting a bidirectional microbiota network through gut-derived butyrate production and immune modulation (P < 0.05). However, further experimentals are required to confirm the causal relationship. Furthermore, microwave therapy significantly altered axillary microbiota diversity, potentially alleviating axillary odor by inhibiting odor-producing bacteria (Staphylococcus) (LDA > 3, P < 0.05), while exerting minimal impact on the gut microbiota. KEGG pathway enrichment analysis revealed significant metabolic activity changes in lipid, carbohydrate, sulfur, and amino acid metabolism pathways. Conclusion: This study is the first to demonstrate the interrelationship between the axillary and gut microbiota in axillary bromhidrosis patients, showing a link between gut-derived butyrate production and axillary odor. These findings offer new insights into the microbiological mechanisms underlying axillary bromhidrosis and identify potential microbial targets for future gut-based systemic treatments.

How this project entered the registry

Classified as human skin / gut / stool shotgun DNA metagenome of age unknown by opus_adjudicated with confidence 0.65. Assay shotgun_dna.

  • host study.description · “recruited 30 axillary bromhidrosis patients”
  • body site study.description · “collecting sweat and stool samples”
Evidence examples (one per field × route)
samplefieldvaluerouteconf.sourcequote
SAMN57402514antibiotic_exposurenoR30.70paper.fulltext.methodsprior antibiotic use before stool sample collection
SAMN57402514collection_date2023-03/2024-03R30.70paper.fulltext.methodsbetween March 2023 and March 2024
SAMN57402514countryCNR10.90sample.attr.geo_loc_nameChina
SAMN57402514health_condition_detailNS1R10.90sample.attr.diseaseNS1
SAMN57402514location_siteSir Run Run Shaw Hospital, Zhejiang University School of MedicineR30.70paper.fulltext.methodsSir Run Run Shaw Hospital, Zhejiang University School of Medicine
Sequencing

62 runs over 62 samples · mean 20.6 Mbp per run (median 20.6 Mbp, total 1.28 Gbp; 62 runs with a base count) · layout PAIRED 62 · platform ILLUMINA 62 · models HiSeq X Ten (62) · 0% of runs with a Sandpiper profile · first public 2026-04-23

Authors (9)

Wu X first · Li M · Xu Y · Liu X · Gao Z · Jiang X · He J · Wu Y · Wu C last

Help complete this project

3 of the 4 core fields are below 50% coverage: age_category, health_condition, subject_id. Share metadata

Downloads

PRJNA1456328.csv.gz (2.4 KB) · parquet (71.9 KB) — all 62 samples, every field with route and confidence · PRJNA1456328_determinations.csv.gz (2.3 KB) — 310 evidence rows

Samples (62 · every field this project has values for · hover a cell for its source)
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